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Agentic Data Science Architecture Designer

Guides an agent through designing a multi-product Google Cloud architecture for agent-based data analytics or ML workloads.

Source Download skill
Repository
google/skills
Stars
21,782
Licence
Apache-2.0
Files
5 files

What it does

When installed, the agent works through a structured process to design a Google Cloud solution for an agent-based data analytics or machine learning project. It first asks you clarifying questions about your data, users, and constraints, waits for your answers and confirmation, then proposes an agent design pattern, maps components to Google Cloud products, drafts an architecture diagram in Mermaid format, and writes a solution architecture guide for your approval. It also steers the agent toward current Google Cloud product names and documentation.

Great for

  • Architects or engineers planning a multi-agent data science or ML system on Google Cloud
  • Teams who want a structured, step-by-step design document with a diagram before any deployment work
  • People who prefer the agent to ask questions and wait for sign-off rather than guess requirements

Skip it if

  • Simple one-off data questions or single queries, since the multi-phase workflow is heavy for them
  • Non-agentic pipelines or general cloud reviews, which the skill itself says it should not be used for
  • Anyone expecting finished, verified production infrastructure: the output is a design draft and the skill's validation phase is only as reliable as the agent's execution of it

Try asking

  • “Design a multi-product agentic architecture for a customer analytics workload that queries BigQuery data and produces weekly forecasts”
  • “Help me architect a multi-agent ML pipeline on Google Cloud for document-based research, and generate a Mermaid diagram”
  • “Create a solution architecture guide for an agent-based data science workflow with security and governance constraints”
Step-by-step guide: how to use Agentic Data Science Architecture DesignerInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 5 original files, the Apache-2.0 licence and an attribution note.

    google-cloud-solution-agentic-ai-data-science-workflow.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip google-cloud-solution-agentic-ai-data-science-workflow.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip google-cloud-solution-agentic-ai-data-science-workflow.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Answer the clarifying questions in detail (data sources, users, constraints) because the design quality depends on them
  • Review the generated solution-architecture-guide.md and the component decomposition before approving, since the skill halts for your confirmation at each stage
  • Check the referenced Google Cloud docs yourself, as product names and recommendations change over time

What's inside

  • assets/output-template.md
  • references/attribution.md
  • references/design-recommendations.md
  • references/product-mapping.md
  • SKILL.md

Redistributed unmodified from google/skills under the Apache-2.0 licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.